Publikationen
Digital
Adapting Computer Vision Algorithms for Omnidirectional Video
Beteiligte Autoren der JOANNEUM RESEARCH:
Autor*innen:
Fassold, Hannes
Abstract:
Omnidirectional (360°) video has got quite popular because it provides a highly immersive viewing experience. For computer vision algorithms, it poses several challenges, like the special (equirectangular) projection commonly employed and the huge image size. In this work, we give a high-level overview of these challenges and outline strategies how to adapt computer vision algorithm for the specifics of omnidirectional video.
Titel:
Adapting Computer Vision Algorithms for Omnidirectional Video
Seiten:
1026 - 1028
Publikationsdatum
2019-10
Publikationsreihe
Adresse
New York, USA
Proceedings
Proceedings of the 27th ACM International Conference on Multimedia
